Grid-Connected PV System with Reactive Power Management and an Optimized SRF-PLL Using Genetic Algorithm

Bashar Aldbaiat, Mutasim Nour, Eyad Radwan and Emad Awada
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Bashar Aldbaiat: School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
Mutasim Nour: School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
Eyad Radwan: Department of Electrical Engineering, Faculty of Engineering Technology, Applied Science Private University, P.O. Box 166, Amman 11931, Jordan
Emad Awada: Department of Electrical Engineering, College of Engineering Technology, Al-Balqa Applied University, P.O. Box 166, Amman 11931, Jordan

Energies, 2022, vol. 15, issue 6, 1-21

Abstract: This paper presents a two-stage grid-connected PV system with reactive power management capability. The proposed model can send phase-shifted current to the grid during a low-voltage ride through (LVRT) to recover the voltage levels of the grid’s feeders. The novelty of the proposed algorithm, unlike the common methods, is that it does not need to disable the maximum power point tracking (MPPT) state while managing active and reactive power injection simultaneously. Moreover, the new method promotes a safety factor by offering overcurrent protection to the PV inverter. The phase-locked loop based on the synchronous reference frame (SRF-PLL) is optimized using a genetic algorithm (GA). The settling time of SRF-PLL’s step response is minimized, and the frequency dynamics are improved to enhance synchronization during LVRT. The system’s performance is tested and verified using MATLAB/Simulink simulations. The obtained results prove the effectiveness of the proposed control algorithm in managing reactive power interventions. The optimized phase-locked loop shows robust performance and is compared to the conventional low-gain PLL to spot the enhancement.

Keywords: grid-connected PV system; genetic algorithm; phase-locked loop; reactive power compensation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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